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When you are given Open Science, what will you do with it?

1.
when you are given open science
what will you do with it?
lennart martens
lennart.martens@vib-ugent.be
computational omics and systems biology group
VIB / Ghent University, Ghent, Belgium
CC BY-SA 4.0

4.
We should ask ourselves a simple question:
where does the real revolution lie?
• Many of you (myself included) have already
fought long and hard for open science
• But we’ve really been fighting windmills, even
though some of these looked a lot like dragons
• The fight may [be | have been] glorious, but in
all honesty, the real challenges are:
• to make it all work in practice
• to do amazing things with open science
CC BY-SA 4.0

5.
Why should we really have open science?
Our biggest challenge is to make it work!
What can we do with open science?
Of sedimentation, opportunity,
and an absence of dragons
CC BY-SA 4.0

6.
Why should we really have open science?
Our biggest challenge is to make it work!
What can we do with open science?
Of sedimentation, opportunity,
and an absence of dragons
CC BY-SA 4.0

7.
We usually think we need open science
to prevent bad things from happening
• While open science helps prevent some cases of
fraud or low quality work being published, it is
certainly not a panacea (cfr. peer review)
• Simultaneously, fraud is regularly detected:
• in the absence of the source data
• from papers published in closed access journals
• without any of the code or metadata available
• Why should we define the use of open science
through an application with negative connotation?
CC BY-SA 4.0

8.
Instead, we should rather focus on the good
that comes from open science
• Open science makes the work accessible to anyone
• Open science allows people to build much more
efficiently on previous work
• Open science helps maximize the usefulness of each
individual research effort
• Data tend to have a (much!) longer shelf life than
our (limited) interpretations
• Open science fosters creativity, and stimulates
revolutionary research
CC BY-SA 4.0

9.
Why should we really have open science?
Our biggest challenge is to make it work!
What can we do with open science?
Of sedimentation, opportunity,
and an absence of dragons
CC BY-SA 4.0

10.
Making open science work, requires effort
from every single scientist at all times
• The data that is obtained should be accompanied by
the associated metadata
• The code that is written should be understandable,
documented, and hosted at a reliable site
• The protocols should be provided clearly and in full
• The interpretations should be clearly linked to the
data (full provenance)
• Everything should be licensed in a permissible way
CC BY-SA 4.0

11.
But scientists are human, and very fallible
- especially when extra effort is required
Verheggen, EuPA Open Proteomics, 2015 CC BY-SA 4.0

27.
And have now been able to help confirm
small ORF expression in the human genome
Olexiouk, NAR, 2016 CC BY-SA 4.0

28.
All of the available data simply
bristle with opportunity
Vaudel, Proteomics, 2015 CC BY-SA 4.0

29.
Why should we really have open science?
Our biggest challenge is to make it work!
What can we do with open science?
Of sedimentation, opportunity,
and an absence of dragons
CC BY-SA 4.0

30.
A sociologist’s take on our efforts
towards (orthogonal) data reuse
“This desire to reactivate data is widespread, and Klie et al. are not
alone in wanting to show that ‘far from being places where data goes
to die’ (Klie et al., 2007: 190), such data collections can be mined for
valuable information that could not be obtained in any other way.”
“In attempting to reactivate sedimented data in order to enable its
re-use, their first step was ...”
"... they are experiments in seeing, in furnishing ways of seeing how
data on proteins could become re-usable, could be reactivated as
collective property rather than the by-product of publication."
Mackenzie and McNally, Theory, Culture and Society, 2013 CC BY-SA 4.0

31.
And now think about open science,
and imagine the opportunities
• What could you do with open science? What could
you study? What could you learn?
• What opportunities would present themselves, if…
• All data (in your field) were available online
• All algorithms (in your field) were available online
• All publications (in your field) were open access
• Most of these opportunities are not little steps
forward; instead they promise to be revolutionary!
CC BY-SA 4.0

32.
https://www.flickr.com/photos/fantasy-art-and-portraits/2884954207
(CC BY-NC-SA 2.0)
Here is treasure of unlimited size, with all
dragons chased away – now what will you do?
CC BY-SA 4.0